Generative modeling of synthetic time series data and time series augmentations
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Updated
May 24, 2024 - Python
Generative modeling of synthetic time series data and time series augmentations
Open-source version of the TDspora synthetic data generation algorithm.
a curated list of data for reasoning ai
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.
awesome synthetic (text) datasets
Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines
The Gretel Python Client allows you to interact with the Gretel REST API.
Generate synthetic clinical study data in the form of individual patients.
⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.
Library and CLI for randomly generating medical data like you might get out of an Electronic Health Records (EHR) system
Metrics to evaluate quality and efficacy of synthetic datasets.
Synthetic Patient Population Simulator
Synthetic data generation for tabular data
A procedural Blender pipeline for photorealistic training image generation
Mimesis is a robust data generator for Python that can produce a wide range of fake data in multiple languages.
PostgreSQL database anonymization tool
Synthesizer - a code for creating synthetic astrophysical spectra
2010 U.S. Synthetic Population Ver. 1
Synthetic data generators for tabular and time-series data
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